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A 3D Structural SARS-CoV-2-Human Interactome to Explore Genetic and Drug Perturbations
Emergence of new viral agents is driven by evolution of interactions between viral proteins and host targets. For instance, increased infectivity of SARS-CoV-2 compared to SARS-CoV-1 arose in part through rapid evolution along the interface between the Spike protein and its human receptor ACE2, lead...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665054/ https://www.ncbi.nlm.nih.gov/pubmed/34845387 http://dx.doi.org/10.1038/s41592-021-01318-w |
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author | Wierbowski, Shayne D. Liang, Siqi Liu, Yuan Chen, You Gupta, Shagun Andre, Nicole M. Lipkin, Steven M. Whittaker, Gary R. Yu, Haiyuan |
author_facet | Wierbowski, Shayne D. Liang, Siqi Liu, Yuan Chen, You Gupta, Shagun Andre, Nicole M. Lipkin, Steven M. Whittaker, Gary R. Yu, Haiyuan |
author_sort | Wierbowski, Shayne D. |
collection | PubMed |
description | Emergence of new viral agents is driven by evolution of interactions between viral proteins and host targets. For instance, increased infectivity of SARS-CoV-2 compared to SARS-CoV-1 arose in part through rapid evolution along the interface between the Spike protein and its human receptor ACE2, leading to increased binding affinity. To facilitate broader exploration of how pathogen-host interactions might impact transmission and virulence in the ongoing COVID-19 pandemic, we performed state-of-the-art interface prediction followed by molecular docking to construct a 3D structural interactome between SARS-CoV-2 and human. We additionally carried out downstream meta-analyses to investigate enrichment of sequence divergence between SARS-CoV-1 and SARS-CoV-2 or human population variants along viral-human protein interaction interfaces, predict changes in binding affinity by these mutations/variants, and further prioritize drug repurposing candidates predicted to competitively bind human targets. We believe this resource (http://3D-SARS2.yulab.org) will aid in development and testing of informed hypotheses for SARS-CoV-2 etiology and treatments. |
format | Online Article Text |
id | pubmed-8665054 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-86650542022-05-29 A 3D Structural SARS-CoV-2-Human Interactome to Explore Genetic and Drug Perturbations Wierbowski, Shayne D. Liang, Siqi Liu, Yuan Chen, You Gupta, Shagun Andre, Nicole M. Lipkin, Steven M. Whittaker, Gary R. Yu, Haiyuan Nat Methods Article Emergence of new viral agents is driven by evolution of interactions between viral proteins and host targets. For instance, increased infectivity of SARS-CoV-2 compared to SARS-CoV-1 arose in part through rapid evolution along the interface between the Spike protein and its human receptor ACE2, leading to increased binding affinity. To facilitate broader exploration of how pathogen-host interactions might impact transmission and virulence in the ongoing COVID-19 pandemic, we performed state-of-the-art interface prediction followed by molecular docking to construct a 3D structural interactome between SARS-CoV-2 and human. We additionally carried out downstream meta-analyses to investigate enrichment of sequence divergence between SARS-CoV-1 and SARS-CoV-2 or human population variants along viral-human protein interaction interfaces, predict changes in binding affinity by these mutations/variants, and further prioritize drug repurposing candidates predicted to competitively bind human targets. We believe this resource (http://3D-SARS2.yulab.org) will aid in development and testing of informed hypotheses for SARS-CoV-2 etiology and treatments. 2021-11-29 2021-12 /pmc/articles/PMC8665054/ /pubmed/34845387 http://dx.doi.org/10.1038/s41592-021-01318-w Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: |
spellingShingle | Article Wierbowski, Shayne D. Liang, Siqi Liu, Yuan Chen, You Gupta, Shagun Andre, Nicole M. Lipkin, Steven M. Whittaker, Gary R. Yu, Haiyuan A 3D Structural SARS-CoV-2-Human Interactome to Explore Genetic and Drug Perturbations |
title | A 3D Structural SARS-CoV-2-Human Interactome to Explore Genetic and Drug Perturbations |
title_full | A 3D Structural SARS-CoV-2-Human Interactome to Explore Genetic and Drug Perturbations |
title_fullStr | A 3D Structural SARS-CoV-2-Human Interactome to Explore Genetic and Drug Perturbations |
title_full_unstemmed | A 3D Structural SARS-CoV-2-Human Interactome to Explore Genetic and Drug Perturbations |
title_short | A 3D Structural SARS-CoV-2-Human Interactome to Explore Genetic and Drug Perturbations |
title_sort | 3d structural sars-cov-2-human interactome to explore genetic and drug perturbations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665054/ https://www.ncbi.nlm.nih.gov/pubmed/34845387 http://dx.doi.org/10.1038/s41592-021-01318-w |
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